NDLI: Human-object interaction reasoning using RFID-enabled smart shelf

Content Provider	IEEE Xplore Digital Library
Author	Melia-Segui, Joan Pous, Rafael
Copyright Year	2014
Description	Author affiliation: Department of Information and Communication Technologies, Universitat Pompeu Fabra, Tànger 122-140, 08018 Barcelona - Spain (Melia-Segui, Joan; Pous, Rafael)
Abstract	Radio Frequency Identification (RFID)-enabled smart shelves are becoming common place in pervasive retail. These devices provide real-time information about the item's stock and location, but few efforts have been made to reliably detect human interaction with the items. We present a novel approach on real-time human-object interaction detection based on RFID using supervised machine learning techniques. By analyzing specific RFID features, we classified human interaction on a real smart shelf, achieving a performance over 84%. This work aims to provide the first method to model RFID information as a source of human activity recognition, with application to context-aware industrial infrastructure, smart environments and Internet of Things.
Starting Page	37
Ending Page	42
File Size	5709266
Page Count	6
File Format	PDF
ISBN	9781479951543
DOI	10.1109/IOT.2014.7030112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Antenna measurements Multiplexing Human-object Interaction Modeling RFID Internet of Things Radio frequency Internet of things Context Awareness Data Analysis and Learning Mathematical model Smart Environments Antennas Radiofrequency identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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